Data Strategy

Data Strategy & Data Enabled Solutions
- Senior Manager or Associate Director
- Toronto

Location:
Toronto Other locations: Primary Location Only Requisition ID: 1759846 At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity EY's Canada Tax & Law Technology Group (CTTG) is seeking an experienced Associate Director / Senior Manager, Data Strategy & Data-Enabled Solutions to help define and scale our data strategy, capabilities, offerings, and solutions. This is a strategic and hands-on role that will play a pivotal part in shaping how data is leveraged as a strategic asset across Tax & Law. The role will focus on identifying new opportunities, enabling data-driven insights and decision-making, developing new solutions and services, strengthening existing offerings, and enabling smarter and more scalable service delivery. We are looking for a senior data professional who can move comfortably between strategy and execution. The successful candidate will be expected to help set direction while also working directly with data to explore opportunities, develop analyses, test hypotheses, prototype solutions, and evaluate new approaches and technologies. They will leverage CTTG development and delivery resources to help engineer, productionize, and scale solutions where needed. This job posting relates to an existing vacancy within our organization. Your

key responsibilities
- Partner with Tax & Law leadership to define and execute a data strategy that advances service delivery, managed services, growth, and new market offerings, including opportunities to connect data and insights across competencies and services.
- Identify, prioritize, and shape data-enabled opportunities, use cases, and solutions aligned with business priorities, client needs, and the long-term technology and platform strategy.
- Lead discovery with business teams to understand business problems, processes, available data, information gaps, and opportunities, and articulate the art of the possible through data.
- Work hands-on with data to explore opportunities, perform analysis, test hypotheses, identify patterns and insights, develop prototypes, and demonstrate potential solutions.
- Experiment with new data sources, data models, analytical approaches, tools, and technologies to quickly assess feasibility, validate ideas, and determine potential business value.
- Design and prototype end-to-end data-enabled solutions, including data extraction, preparation, transformation, integration, modeling, analytics, visualization, and consumption.
- Define data architectures and solution approaches that enable information to be securely, effectively, and consistently used and reused across solutions, services, and teams.
- Apply and leverage technologies such as Microsoft Power BI, Microsoft Dataverse, Azure data services, Alteryx, APIs, ETL/ELT tools, and related data and analytics technologies.
- Work across structured and unstructured data sources and develop approaches for ingesting, connecting, transforming, and deriving value from disparate sources of information.
- Partner with developers, architects, and agile delivery teams to evolve successful prototypes and experiments into secure, scalable, supportable, and reusable solutions.
- Provide technical direction and hands-on support throughout solution development, helping teams address complex data, architecture, analytics, and integration challenges.
- Translate successful approaches into repeatable data assets, solutions, services, and market offerings that can be leveraged more broadly across Tax & Law.
- Collaborate with technology, risk, security, privacy, and enablement teams to ensure solutions align with EY standards, data governance, and compliance requirements.
- Help strengthen data capability and maturity across service line by establishing reusable approaches, sharing leading practices, and helping teams understand how data can be more effectively leveraged. Skills and attributes for success The successful candidate will bring a strong background in data strategy, analytics, data architecture, and hands-on solution development, and will operate as a connector between business leadership, data and technology teams, and solution delivery. They'll combine the mindset of a strategist, problem solver, and builder: someone who can identify where data can create value, determine how to solve the problem, prove what is possible, and work with a broader team to turn successful ideas into scalable solutions, services, and market offerings. Ideally, you'll also
- Demonstrated experience defining or contributing to data strategies, data architectures, analytics roadmaps, data products, or data-enabled service offerings.
- Experience taking ambiguous business opportunities